101 to 125 of 1,933 Python Jobs in London

the latest advancements in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker More ❯

the latest advancements in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker More ❯

performance through experimentation and analytics What We’re Looking For: 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part More ❯

performance through experimentation and analytics What We’re Looking For: 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part More ❯

the latest advancements in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker More ❯

the latest advancements in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker More ❯

Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). Strong knowledge of API security standards, including OAuth, OpenID Connect, and API Gateway security. Experience with scripting and automation using Python, Shell, or Terraform. Familiarity with API monitoring tools like Prometheus, Grafana, or Splunk. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication and leadership More ❯

and influence strategic decisions. What We're Looking For: Proven experience in data science or data engineering roles, ideally within consumer tech, logistics, or e-commerce. Strong proficiency in Python, SQL, and machine learning frameworks. Experience with cloud platforms (Azure, AWS, GCP) and tools like Databricks, DBT, Airflow, or Terraform. Familiarity with AI/ML applications and modern analytics tooling. More ❯

Robert Half Technology are assisting a market leading global technology consultancy to recruit a Full Stack Developer - Fully remote The Full Stack Developer will have experience across: React Python Javascript Nice to have: CI/CD Pipelines Github Actions Vue Java Azure Azure Devops Role The Full Stack Developer will adopt best practices like writing clean and reusable code using More ❯

up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization More ❯

up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization More ❯

up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization More ❯

up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization More ❯

Providing training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field More ❯

Azure cloud environments. Automation & Infrastructure as Code (Ansible, Terraform, Jenkins, etc.). Containers & orchestration (Docker, Kubernetes, OpenShift). Monitoring tools (Splunk, ELK, DataDog). Knowledge of scripting/coding (Python, React, Go). Familiarity with CI/CD pipelines, source control, and security practices. What's on Offer: Competitive compensation & pension scheme. Comprehensive benefits package, including health cover and employee More ❯

Apex) Salesforce Experience Cloud site-building experience Able to develop robust and advanced Salesforce Lightning Web Components (inc. familiarity with HTML, CSS, JavaScript) DevOps pipeline implementation and troubleshooting (inc. Python, Node.JS, Bash) AWS Services - including Lambda (Java), Secrets Manager, API Gateways Salesforce email configuration, including DNS/DKIM/SPF AI prompt building experience Salesforce Maps (or similar GIS Geographical More ❯

to both technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer More ❯

to both technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer More ❯

reference Bachelor's or master's degree in computer science, Software Engineering, or related field Strong understanding of computer science fundamentals Proficiency in at least one programming language (preferably Python) Basic knowledge of database concepts and SQL Understanding of RESTful APIs and web services Familiarity with version control systems (Git) Strong problem-solving skills and attention to detail Good to More ❯

UK and meet the following criteria: Required Skills & Experience: Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to More ❯

and are most excited by candidates who are passionate about learning new things, at Gemba we work with technologies such as: High-level solution languages such as Java, TypeScript, Python, and Go Web libraries and frameworks such as React and Angular Designing, building, and maintaining CI/CD pipelines Big data technologies, such as NiFi, Hadoop, Spark Cloud and containerization More ❯

ML — LLMs (OpenAI, Anthropic, Mistral), embeddings, RAG, LangChain/LlamaIndex. Strong understanding of OpenAI for Business and custom GPT development , including enterprise integration and compliance guardrails. Proven engineering skills — Python (PyTorch/TensorFlow, JAX) , SQL/Spark, data wrangling, API integration. MLOps & deployment experience — MLflow, W&B, Docker/Kubernetes, CI/CD pipelines. Track record shipping real-world AI More ❯

ML — LLMs (OpenAI, Anthropic, Mistral), embeddings, RAG, LangChain/LlamaIndex. Strong understanding of OpenAI for Business and custom GPT development , including enterprise integration and compliance guardrails. Proven engineering skills — Python (PyTorch/TensorFlow, JAX) , SQL/Spark, data wrangling, API integration. MLOps & deployment experience — MLflow, W&B, Docker/Kubernetes, CI/CD pipelines. Track record shipping real-world AI More ❯

early-stage environment where speed, iteration, and thoughtful architecture are all essential. Must-Haves 3+ years of professional software engineering experience (backend, DevOps, or full stack). Proficiency in Python, with experience building ML-oriented solutions. Strong problem-solving and communication skills. Hands-on DevOps experience (CI/CD, version control). Familiarity with cloud infrastructure platforms, ideally Azure. Strong More ❯

large-scale software delivery projects in core banking, Treasury, and finance systems. Technical skills in software development methodologies (e.g., Agile, Scrum, DevOps), proficiency in programming languages (e.g., Java, C#, Python), and SQL Server database management. Experience with core banking systems (e.g., Equation), Treasury, and finance systems. Familiarity with cloud technologies (AWS, Azure, Google Cloud) is a plus. Leadership skills, excellent More ❯